MEMS BEAM STEERING AND FISHEYE RECEIVING LENS FOR LiDAR SYSTEM

ABSTRACT

The present disclosure describes a system and method for a binocular LiDAR system. The system includes a light source, a beam steering apparatus, a receiving lens, a light detector. The light source is configured to transmit a pulse of light. The beam steering apparatus is configured to steer the pulse of light in at least one of vertical and horizontal directions along an optical path. The lens is configured to direct the collected scattered light to the light detector. The electrical processing and computing device is electrically coupled to light source and the light detector. The light detector is configured to minimize the background noise. The distance to the object is based on a time difference between transmitting the light pulse and detecting scattered light.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation Application of U.S. patent application Ser. No. 15/857,566, filed Dec. 28, 2017, which claims priority to U.S. Provisional Patent Application No. 62/442,728, entitled “MEMS BEAM STEERING AND FISHEYE RECEIVING LENS FOR LiDAR SYSTEM”, filed on Jan. 5, 2017, the contents of each of which are hereby incorporated by reference in their entirety.

FIELD OF THE DISCLOSURE

The present disclosure generally relates to a light detection and ranging (LiDAR) system and, more specifically, to systems and methods for steering consecutive light pulses to illuminate objects in a field of view and binocularly collecting the scattered light from each light pulse for ranging the objects in the field of view.

BACKGROUND OF THE DISCLOSURE

LiDAR system can be used to measure the distance between an object and the system. Specifically, the system can transmit a signal (e.g., using a light source), record a returned signal (e.g., using light detectors), and determine the distance by calculating the delay between the returned signal and the transmitted signal.

SUMMARY OF THE DISCLOSURE

The following presents a simplified summary of one or more examples in order to provide a basic understanding of the disclosure. This summary is not an extensive overview of all contemplated examples, and is not intended to either identify key or critical elements of all examples or delineate the scope of any or all examples. Its purpose is to present some concepts of one or more examples in a simplified form as a prelude to the more detailed description that is presented below.

In accordance with some embodiments, a method for light detection and ranging (LiDAR) scanning detection is provided. The method includes transmitting a pulse of light from a light source; steering the pulse of light at an object along an optical path; collecting scattered light from the pulse of light dispersed from the object; converging the scattered light onto a light detector; and determining a distance to the object based on a time difference between transmitting the light pulse and detecting the scattered light. While the description below uses vehicle as an example, the centralized laser delivery system and multiple LiDARs can be disposed in or integrated with robots, multiple locations of a building for security monitoring purposes, or intersections or certain location of roads for traffic monitoring, and so on.

In accordance with some embodiments, a light detection and ranging (LiDAR) scanning system is provided. The system includes: a light source configured to transmit a light pulse; a beam steering apparatus configured to steer the light pulse in at least one of vertical and horizontal directions along an optical path; a light converging apparatus configured to direct the collected scattered light to a focal plane; a light detector disposed at or in proximity to the focal plane, wherein the light detector comprises a plurality of detector segments; and an electrical processing and computing device. The electrical processing and computing device is configured to: based on the steering of the light pulse, select a subset of the plurality of detector segments; deactivate a particular detector segment of the plurality of detector segments, wherein the detector segment is not part of the subset of the plurality of detector segments; and detect, using the selected subset of the plurality of detector segments, a scattered light generated based on the light pulse illuminating an object in the optical path.

In accordance with some embodiments, a computer-implemented method for operating a light detection and ranging (LiDAR) system, which includes a light source, a beam steering apparatus, and a light detector having a first detector segment and a second detector segment, comprises: transmitting, with the light source, a light pulse; steering, with the beam steering apparatus, the light pulse in at least one of vertical and horizontal directions along an optical path; directing, with the light converging apparatus, the collected scattered light to a focal plane; based on the steering of the light pulse, selecting a subset of the plurality of detector segments; and detecting, using the selected subset of the plurality of detector segments, a scattered light generated based on the light pulse illuminating an object in the optical path.

BRIEF DESCRIPTION OF THE DRAWINGS

For a better understanding of the various described aspects, reference should be made to the description below, in conjunction with the following figures in which like-referenced numerals refer to corresponding parts throughout the figures.

FIG. 1 illustrates an exemplary binocular LiDAR system with receiving fisheye lens and filter, according to some embodiments of the disclosure.

FIG. 2 illustrates an exemplary segmented detector and a received beam spot that moves through the detector's active areas, according to some embodiments of the disclosure.

FIG. 3 illustrates an exemplary solar spectrum of spectral irradiance versus wavelength.

FIG. 4 illustrates an exemplary plot of extinction coefficients versus wavelength in air with and without aerosols.

DETAILED DESCRIPTION

The detailed description set forth below in connection with the appended drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. The detailed description includes specific details for the purpose of providing a thorough understanding of various concepts. However, it will be apparent to those skilled in the art that these concepts may be practiced without these specific details. In some instances, well-known structures and components are shown in block diagram form in order to avoid obscuring such concepts.

Examples of LiDAR systems and processes will now be presented with reference to various elements of apparatuses and methods. These apparatuses and methods will be described in the following detailed description and illustrated in the accompanying drawing by various blocks, components, circuits, steps, processes, algorithms, etc. (collectively referred to as “elements”). These elements may be implemented using electronic hardware, computer software, or any combination thereof. Whether such elements are implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system.

In the following description of examples, reference is made to the accompanying drawings which form a part hereof, and in which it is shown by way of illustration specific examples that can be practiced. It is to be understood that other examples can be used and structural changes can be made without departing from the scope of the disclosed examples.

Although the following description uses terms “first,” “second,” etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, a first pulse signal could be termed a second pulse signal, and, similarly, a second pulse signal could be termed a first pulse signal, without departing from the scope of the various described embodiments. The first pulse signal and the second pulse signals are both pulse signals, but they may not be the same pulse signal.

The terminology used in the description of the various described embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the description of the various described embodiments and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and/or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “includes,” “including,” “comprises,” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

The term “if” is, optionally, construed to mean “when” or “upon” or “in response to determining” or “in response to detecting,” depending on the context. Similarly, the phrase “if it is determined” or “if [a stated condition or event] is detected” is, optionally, construed to mean “upon determining” or “in response to determining” or “upon detecting [the stated condition or event]” or “in response to detecting [the stated condition or event],” depending on the context.

In order to reduce the size of LiDAR systems, using micro-electro-mechanical systems (MEMS) to project laser beam is a desirable choice. Such on-chip solutions reduce the size of the LiDAR system. However, these on-chip MEMS designs yield an optical aperture cross-section that is a few (e.g., less than 5) millimeters or less in a coaxial receiving scheme, which limits the visibility of the LiDAR system. It has been found that a larger optical aperture cross-section boosts the collection efficiency of scattered light. A collection lens with wide acceptance angle, e.g., fisheye lens, and a large area photo detector with fast speed and high sensitivity is needed to avoid mechanically tuning optics in receiving path. However, this will also increase the amount of background light, and thus noise, entering the receiving system. As such, it is desired to increase the cross-section collection optical aperture of a LiDAR system while lowering the background noise floor.

The present disclosure describes a binocular MEMS steering system for LiDAR. The LiDAR system can include a laser source that emits or transmits laser (e.g., laser pulses), a beam steering apparatus, a light converging apparatus, a light detector, and/or an electrical processing and computing device (e.g., a microprocessor). As discussed below, these components of the LiDAR system may be configured to operate with MEMS designs in an optimal way.

As discussed above, while a larger optical aperture cross-section boosts the collection efficiency of scattered light, the larger cross-section also increases the amount of background light, and thus noise, entering the receiving system. Reducing the amount of background light can be accomplished by selecting wavelength of the laser source and/or using a matched narrow band filter. Specifically, the wavelength of the laser source can be configured such that it falls into a band of atmosphere windows. FIG. 3 illustrates an exemplary solar spectrum of spectral irradiance versus wavelength, and FIG. 4 illustrates an exemplary plot of extinction coefficients versus wavelength in air with and without aerosols (e.g., fog). As an example, FIG. 3 shows that at 1.38 um wavelength, the radiation at sea level is minimal. Similarly, FIG. 4 shows that at that wavelength, the extension coefficient is relatively low. Thus, at this wavelength, there is minimal background light, and thus noise, from sun light in atmosphere near sea level. Thus, a 1.38 um wavelength of a vapor absorption line can be selected as laser working wavelength in this case.

Additionally or alternatively, a matched narrow band filter can be disposed in the receiving beam path to reduce the collection of lights that are not of the desirable wavelength(s). The matched narrow band filter can be an optical filter that rejects or substantially reduces background light. For example, the optical filter can be a bandpass filter such as a Lyot filter, a Fabry-Perot interferometer, or any other tunable filters.

In some embodiments, the MEMS beam steering apparatus can include a MEMS device that uses micro-mirrors. The MEMS mirror can steer the laser generated by the laser source in two or three dimensions to illuminate objects in a field of view. It is appreciated that the MEMS beam steering apparatus can also include other MEMS components such as optical switches, optical cross-connects, lens, etc.

To enhance the visibility of the LiDAR system, the exemplary LiDAR system can further include a MEMS beam steering apparatus coupled with a fisheye wide angle receiving lens. In some embodiments, the fisheye wide angle receiving lens can be configured to collect scattered light generated from the pulses of light scattered at the objects. A fisheye lens can be a wide-angle lens that produces visual distortion intended to create a wide panoramic or hemispherical image. Thus, the fisheye lens can collect scattered light within a wide-angle, thereby enhancing or increasing the visibility of the LiDAR system. A fisheye lens can be, for example, a circular fisheye lens or a full-frame fisheye lens. In some embodiments, the fisheye lens's field of view can be selected or configured to match the field of view of the MEMS beam steering range. The fisheye wide angle receiving lens can be coupled to the MEMS beam steering apparatus, for example, side by side.

In some embodiments, the exemplary LiDAR system can also include a light detector to detect the light collected by the fisheye lens (and optionally filtered by the optical filter). In some instances, the detector's size can be quite significant comparing to the size of the beam spot. For example, the beam spot of a scattered light may be smaller than 100 micrometers, while the detector can have a size of a few millimeters in each dimension to cover the wide angle of field of view. In other words, the fisheye lens system can operate in a fairly under-fill scenario, in which the beam size of the received beam spot is much smaller compared with total detector active area. This may significantly increase detector noise and reduce signal-to-noise ratio. A large area of the detector may also introduce a large junction capacitance, which is proportional to the area of the detector. The large junction capacitance may slow down the amplifier and contribute to excess noise gain of following transimpedance amplifier. Furthermore, the extra unilluminated area in the detector contributes nothing to signal but receiving large amount of background noise, thus increasing computational burden.

FIG. 2 illustrates an exemplary segmented detector and a received beam spot that moves through the detector's active areas, according to some examples of the disclosure. As depicted, a light detector having a large active area can be divided into small segments (e.g., divided into a 2×3 or 2×4 array or other number of configurations of detector segments). It is appreciated that the light detector can be divided into any number of detector segments for balancing or optimizing the overall system performance. In some embodiments, each segment can have smaller junction capacitance and can be coupled to its dedicated trans-impedance amplifier.

Each detector segment can be illuminated by a beam spot (e.g., received scattered light) corresponding to the beam steering angle or position of the MEMS beam steering apparatus. From the steering MEMS, a skilled artisan can determine which detector segment is to be illuminated and LiDAR system can be focused on that segment of detector. For example, a skilled artisan can select the detector segment based on registration information from a MEMS steering mirror of the beam steering apparatus (e.g., position or pointing of the mirror). The extra cost to this solution is some extra TIA amplifier which may increase system cost slightly. In some examples, as shown in FIG. 1, the exemplary LiDAR system can further include a controller (e.g., one or more electrical processing and computing devices and memories) configured to coordinate between the MEMS beam steering apparatus and the activation of the detector elements such that only certain detector elements (e.g., a single detector element) are activated to receive the beam spot (e.g., scattered light from an object) corresponding to the steering angle or position of the MEMS steering apparatus. As illustrated in FIG. 2, for example, in the 2×4 detector array, some detector elements can be activated while the other detector elements are deactivated or turned off. As a result, junction capacitance of a detector can be significantly reduced and in turn, the signal-to-noise ratio can be improved. In some embodiments, the light detector can be implemented using an InGaAs-based detector (or array of detectors) and/or a SiGe-based detector.

In some examples, after determining which detector segment(s) are to be illuminated, the LiDAR system turns off (e.g., powers off) the rest of the detector segments on the detector array to save power and improve thermal management of the system if it is necessary (e.g., if the overall power consumption of the system exceeds a predetermined threshold). In some examples, the LiDAR system does not turn off the rest of the detector segments and allow all of the detector elements to detect collected scattered light. However, the system can forego processing the signals detected by the rest of the detector segments, thus reducing computational burden.

In some embodiments, an exemplary LiDAR system can further include a second detector configured to provide auto-balancing. For example, the second detector can have the same type or configuration as the first detector that detects the received scattered light generated by an object within the LiDAR's detection range (e.g., the detector described above). The second detector, however, can be configured to receive only background light or noise and provide the noise signal to the controller. In some examples, the system performs auto-balancing by automatically adjusting the ratio between the output caused by background light received by the first detector and the output caused by background light received by the second detector to be one or close to one. The controller can thus correlate the signals provided by the first and second detectors by, for example, subtracting the background noise signals provided by the second detector from the signal provided by the first detector (which includes both the scattered light generated by an object and the background noise). The auto-balancing can enhance the performance of the LiDAR system under certain conditions where the background noise may not be readily distinguished from the scattered light of an object. For example, during night time, many ambient lights are illuminating and thus background noise may include light at the laser wavelength used by the LiDAR system. As a result, absent of auto-balancing, the scattered light from an object may not be readily distinguished from ambient lights.

It should be appreciated that the receiving part of the exemplary LIDAR system described herein can have no moving parts. In other examples, moving parts may be included. 

1. (canceled)
 2. A light detection and ranging (LiDAR) scanning system, comprising: a light detector disposed at or in proximity to a focal plane of scattered light, wherein the light detector comprises a plurality of detector segments and the scattered light is generated based on a light pulse illuminating an object; and an electrical processing and computing device configured to: obtain a subset of the plurality of detector segments; deactivate a particular detector segment of the plurality of detector segments, wherein the detector segment is not part of the subset of the plurality of detector segments; and detect, using the subset of the plurality of detector segments, the scattered light.
 3. The LiDAR scanning system of claim 2, wherein the electrical processing and computing device is further configured to determine a distance to the object based on the scattered light detected by the subset of the plurality of detector segments.
 4. The LiDAR scanning system of claim 3, wherein deactivating the particular detector segment comprises: powering off the particular detector segment.
 5. The LiDAR scanning system of claim 3, wherein deactivating the particular detector segment comprises: detecting, using the particular detector segment, a second scattered light; and foregoing determining a distance to the object based on the second scattered light detected by the particular detector segment.
 6. The LiDAR scanning system of claim 2, wherein a light source generating the light pulse is a laser light source.
 7. The LiDAR scanning system of claim 2, wherein the light pulse comprises a signal of a predetermined wavelength range.
 8. The LiDAR scanning system of claim 7, wherein the predetermined wavelength range falls into the band of atmosphere window.
 9. The LiDAR scanning system of claim 7, further comprising an optical filter configured to filter pulse signals outside the predetermined wavelength range.
 10. The LiDAR scanning system of claim 2, further comprising a light converging apparatus directing the scattered light to the focal plane and comprising a wide angle receiving lens.
 11. The LiDAR scanning system of claim 2, wherein the light detector is a first light detector, and wherein the LiDAR scanning system comprises a second light detector configured to receive background light.
 12. The LiDAR scanning system of claim 11, wherein the electrical processing and computing device is configured to reduce noise in a light signal received by the first light detector based on the background light received by the second light detector.
 13. The LiDAR scanning system of claim 12, wherein reducing noise in the light signal received by the first light detector comprises adjusting a ratio between an output caused by background light received by the first light detector and an output caused by the background light received by the second light detector.
 14. The LiDAR scanning system of claim 2, further comprising a light converging apparatus directing the scattered light to the focal plane, wherein the light converging apparatus is a 2D or 3D MEMS device.
 15. The LiDAR scanning system of claim 2, further comprising a beam steering apparatus configured to steer the light pulse, wherein the beam steering apparatus comprises one or more micro-mirrors.
 16. The LiDAR scanning system of claim 2, further comprising a light converging apparatus directing the scattered light to the focal plane, wherein the light converging apparatus comprises a fish eye lens.
 17. A computer-implemented method for operating a light detection and ranging (LiDAR) system, the LiDAR system comprising a light detector comprising a plurality of detector segments, wherein the light detector is disposed at or in proximity to a focal plane of scattered light and the scattered light is generated based on a light pulse illuminating an object, the method comprising: obtaining a subset of the plurality of detector segments; deactivating a particular detector segment of the plurality of detector segments, wherein the detector segment is not part of the subset of the plurality of detector segments; and detecting, using the subset of the plurality of detector segments, the scattered light.
 18. The computer-implemented method of claim 17, further comprising determining a distance to the object based on the scattered light detected by the subset of the plurality of detector segments.
 19. The computer-implemented method of claim 18, wherein deactivating the particular detector segment comprises: powering off the particular detector segment.
 20. The computer-implemented method of claim 18, wherein deactivating the particular detector segment comprises: detecting, using the particular detector segment, a second scattered light; and foregoing determining a distance to the object based on the second scattered light detected by the particular detector segment.
 21. The computer-implemented method of claim 17, wherein the light detector is a first light detector, and wherein the LiDAR scanning system comprises a second light detector configured to receive background light, and the method further comprises reducing noise in a light signal received by the first light detector based on the background light received by the second light detector. 